• DocumentCode
    1183406
  • Title

    Towards a fast and robust interior point method for power system applications

  • Author

    Rider, M.J. ; Castro, C.A. ; Bedrinana, M.F. ; Garcia, A.V.

  • Author_Institution
    Dept. of Power Syst., Univ. of Campinas, Brazil
  • Volume
    151
  • Issue
    5
  • fYear
    2004
  • Firstpage
    575
  • Lastpage
    581
  • Abstract
    An interior point method (IPM) for solving the optimal power flow (OPF) problem is presented. The IPM uses a combination of the predictor corrector, multiple predictor corrector and multiple centrality correction methods (all belong to the family of higher order interior point methods). The proposed IPM uses the best properties of each method to obtain a more robust IPM with faster convergence characteristics. The active power loss minimisation, minimum load shedding and maximum loadability problems are formulated as an OPF problem and solved with the proposed methodology. The IEEE 30, 57, 118, and 300 bus systems, and two realistic power systems, a 464 bus corresponding to the interconnected Peruvian system, and a 2256 bus corresponding to part (South-Southeast) of the interconnected Brazilian system were tested successfully. Results have indicated that good convergence performance is obtained and the computational time is small.
  • Keywords
    convergence of numerical methods; load flow; load shedding; power system interconnection; predictor-corrector methods; OPF; active power loss minimisation; computational time; faster convergence characteristics; interconnected Brazilian power system; interconnected Peruvian power system; maximum loadability problems; minimum load shedding; multiple centrality correction methods; multiple predictor corrector method; optimal power flow; power system applications; robust interior point method;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20041065
  • Filename
    1367420